{"id":"W2830690711","doi":"10.1111/age.12677","title":"Accuracy of genotype imputation in Labrador Retrievers","year":2018,"lang":"en","type":"article","venue":"Animal Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Dogs Trust; Rural and Environment Science and Analytical Services Division","keywords":"Imputation (statistics); Genotyping; Biology; SNP; Genotype; Single-nucleotide polymorphism; Labrador Retriever; SNP genotyping; Genetics; Genome-wide association study; Statistics; Missing data; Gene; Mathematics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000949212,0.0001071647,0.0001054888,0.00004050386,0.00002768634,0.000006263068,0.0001744122,0.0001309945,0.00004365308],"category_scores_gemma":[0.00009144694,0.0001121087,0.00003806656,0.0001473691,0.0001440441,0.000002082385,0.00007547996,0.00005513296,0.00001789209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006620745,"about_ca_system_score_gemma":0.00009187625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002950734,"about_ca_topic_score_gemma":0.00007256224,"domain_scores_codex":[0.9992144,0.00003448224,0.0002288776,0.0002311799,0.0001062948,0.0001847708],"domain_scores_gemma":[0.9994947,0.0000154731,0.00009276965,0.0002332859,0.0001165608,0.0000472046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004992915,0.0001212588,0.02525654,0.00003026266,0.00004144757,8.134366e-7,0.0006049909,0.0003118504,0.9354134,0.001729845,0.001274096,0.03471621],"study_design_scores_gemma":[0.0006320479,0.00238007,0.5608553,0.0000109786,0.00001639747,0.000005426353,0.0001223463,0.00009027164,0.4245361,0.0012177,0.009929834,0.0002035551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949976,0.0008277209,0.002381654,0.00003367273,0.0001308844,0.0001332627,0.00001218599,0.000005413786,0.001477585],"genre_scores_gemma":[0.9740816,0.00009684952,0.02525921,0.0001167227,0.0002572279,0.000003111298,0.00002290564,0.00001669828,0.0001457267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5355988,"threshold_uncertainty_score":0.4571662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250290723344608,"score_gpt":0.2676988958284348,"score_spread":0.2551959885949887,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}